We train PixelCNN++ on the downsampled \(64\times 64\)  ImageNet data as introduced in [1]} for 6 epochs. Batch size is kept as 36 and the number of filter channels as 100. The rest of the parameters are same as the ones used for training PixelCNN++ on \(32\times 32\)  ImageNet in [2]}. We obtain a negative log likelihood score of 3.66 on test data and 3.5 on train data which is consistent with the numbers reported in [2]} for similar data.
